MacBook Air (2022)
Geekbench AI Score
5832
Single Precision Score
6526
Half Precision Score
5565
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | yasin9300 |
| Upload Date | December 22 2024 09:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Air (2022) |
| Model ID | Mac14,2 |
| Motherboard | Mac14,2 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3408
633.7 IPS |
|
|
Image Classification (HP)
|
100% |
3261
606.4 IPS |
|
|
Image Classification (Q)
|
97% |
2684
500.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3683
59.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4308
69.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4295
69.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19783
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21365
24.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
19970
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
3166
251.2 IPS |
|
|
Object Detection (HP)
|
100% |
3308
262.4 IPS |
|
|
Object Detection (Q)
|
91% |
2695
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
9374
111.4 IPS |
|
|
Face Detection (HP)
|
100% |
10453
124.2 IPS |
|
|
Face Detection (Q)
|
100% |
7192
85.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13770
106.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14628
112.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12259
95.8 IPS |
|
|
Style Transfer (SP)
|
100% |
36136
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40343
51.9 IPS |
|
|
Style Transfer (Q)
|
96% |
37769
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8080
298.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8334
307.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6524
240.9 IPS |
|
|
Text Classification (SP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3843
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3773
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
682
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (Q)
|
98% |
561
9.69 IPS |
